relationship between reliability and validity

Phenomena: This is an observable event or result. Hypothesis: A hypothesis is a measurable and testable statement about potential outcomes based on observed phenomena. Theory: This is a group of ideas to understand why observed phenomena occur. Quantitative research: This involves collecting and analyzing data using numbers, statistics and mathematical analysis to describe or predict a variable Qualitative research: These are research methods that collect and analyze non-numerical data, including opinions and experiences. Independent variable: This variable influences or causes a change in the dependent variable.ĭependent variable: This variable changes in an experiment because of the independent variable's influence. Sample size: This is a measured number of people in a study that represents a larger population.Ĭontrol variable: This is the variable in research that remains consistent throughout the study. While reading about measurement validity and reliability, it may be helpful to review the following terms: Related: Quality Data: Definition, Measurements and Benefits Terms to know in measurement validity vs. For results to be valid, research data collection methods must also appear reliable and reproducible. It's important for methods and results to have validity so the research results can be useful and applied in various settings. Valid results display accuracy in research methods and results. Measurement validity is the extent to which the data or results of a research method represent the intended variable. In this article, we discuss measurement validity and reliability, including types, examples and tips, and review the relationship between measurement validity and reliability in research. It's vital to consider these elements while planning a research study, developing methods and documenting results to understand if the data from the experiment appears useful. Researchers often conduct experiments using methods of measurement for validity and reliability to ensure accuracy and consistency in research processes and results. The evaluation of research results can provide new discoveries and promote innovative ideas or methods.

Relationship between reliability and validity